Universities Rush to Roll Out Computer Science Ethics Courses

Uploaded by Program Studi Sistem Informasi UMN on February 13, 2018 at 1:52 pm

Universities Rush to Roll Out Computer Science Ethics Courses

Universities Rush to Roll Out Computer Science Ethics Courses“We need to at least teach people that there’s a dark side to the ideathat you should move fast and break things,” said Laura Norén, a postdoctoral fellow at the Center for Data Science at New York University who began teaching a new data science ethics course this semester.“If data science ethics training focuses entirely on the individual responsibilityof the data scientist, it risks overlooking the role of the broader enterprise.”course, which has 30 students, focuses on the ethical, policy and legal implications of artificial intelligence.Last fall, Cornell University introduced a data science course where students learned to deal with ethical challenges — such as biased data setsthat include too few lower-income households to be representative of the general population.“It was really focused on trying to help them understand what in their everyday practice as a data scientist they are likely to confront,and to help them think through those challenges more systematically,” said Solon Barocas, an assistant professor in information science who taught the course.

Universities Rush to Roll Out Computer Science Ethics Courses“We need to at least teach people that there’s a dark side to the ideathat you should move fast and break things,” said Laura Norén, a postdoctoral fellow at the Center for Data Science at New York University who began teaching a new data science ethics course this semester.“If data science ethics training focuses entirely on the individual responsibilityof the data scientist, it risks overlooking the role of the broader enterprise.”course, which has 30 students, focuses on the ethical, policy and legal implications of artificial intelligence.Last fall, Cornell University introduced a data science course where students learned to deal with ethical challenges — such as biased data setsthat include too few lower-income households to be representative of the general population.“It was really focused on trying to help them understand what in their everyday practice as a data scientist they are likely to confront,and to help them think through those challenges more systematically,” said Solon Barocas, an assistant professor in information science who taught the course.